Data Warehouse vs Data Lake: What’s the Real Difference?

Data warehouses and data lakes are often explained as competing tools, but they solve different problems.

In this video, we break down the real difference between a data warehouse and a data lake using simple visual examples. You’ll learn why warehouses work best when data is structured before storage, why data lakes are useful for raw and unstructured data, and how modern lakehouse platforms combine parts of both approaches.

We cover:
Schema on write vs schema on read
Why data warehouses need structure upfront
Why data lakes support raw storage first
When to use a warehouse, lake, or lakehouse
How tools like Databricks fit into the picture

Chapter
00:00 The Data Signal intro
00:05 Warehouse limits
00:50 Store first
01:20 Schema timing
01:43 Choosing the tool

Видео Data Warehouse vs Data Lake: What’s the Real Difference? канала The Data Signal